Instructions to use dswah/address-ner-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dswah/address-ner-de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dswah/address-ner-de")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dswah/address-ner-de") model = AutoModelForTokenClassification.from_pretrained("dswah/address-ner-de") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:db2478935ac719ae2133e0647715ebe27aa7228d70d1c89c7be3dc994374f72b
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size 538957900
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